Best AI for large documents?

Just putting another hat in the ring for Gemini NotebookLM. Does a pretty good job with significant amount of documents, whereas I found Claude struggled with the same docs.
 
Yeah, you can actually do that with Claude. You upload the pdf and tell it to answer only from the document. For bigger setups, you can add RAG on top so it searches the files first.
 
I’m joining the DeepSeek users - it’s ultimate, and large files are not a problem for it.
 
Handling large documents with AI is definitely a pain point — tools with good chunking and memory really make a difference in accuracy and context retention.
 
you need the check context window of them
 
If it were me, I’d choose tools built for RAG (retrieval‑augmented generation) so the AI actually reads the PDF and answers from it, not its own training. Options like ChatGPT with file upload + custom context, Claude with chunked document input, and Vector‑DB systems (Pinecone, Weaviate) + LLM are what most pros use. These let you ask questions about ebooks and get answers grounded in the actual text rather than generic knowledge.
 
Yes, tools like LangChain and Haystack with RAG can process large documents like ebooks and answer questions exclusively from the content within.
 
try notebooklm or claude projects, they're the best for 2026 because they strictly ground answers in your uploaded files with huge context windows.
 
Gemini AI or Deepseek can do this job with very good results.
 
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